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Stable representation of a naturalistic movie emerges from episodic activity with gain variability

Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unsta...

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Detalles Bibliográficos
Autores principales: Xia, Ji, Marks, Tyler D., Goard, Michael J., Wessel, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397750/
https://www.ncbi.nlm.nih.gov/pubmed/34453045
http://dx.doi.org/10.1038/s41467-021-25437-2
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author Xia, Ji
Marks, Tyler D.
Goard, Michael J.
Wessel, Ralf
author_facet Xia, Ji
Marks, Tyler D.
Goard, Michael J.
Wessel, Ralf
author_sort Xia, Ji
collection PubMed
description Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1.
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spelling pubmed-83977502021-09-22 Stable representation of a naturalistic movie emerges from episodic activity with gain variability Xia, Ji Marks, Tyler D. Goard, Michael J. Wessel, Ralf Nat Commun Article Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1. Nature Publishing Group UK 2021-08-27 /pmc/articles/PMC8397750/ /pubmed/34453045 http://dx.doi.org/10.1038/s41467-021-25437-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Xia, Ji
Marks, Tyler D.
Goard, Michael J.
Wessel, Ralf
Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title_full Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title_fullStr Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title_full_unstemmed Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title_short Stable representation of a naturalistic movie emerges from episodic activity with gain variability
title_sort stable representation of a naturalistic movie emerges from episodic activity with gain variability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397750/
https://www.ncbi.nlm.nih.gov/pubmed/34453045
http://dx.doi.org/10.1038/s41467-021-25437-2
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